한국조리학회지에 게재된 학술적 연구의 통계적 기법 분석

Analysis of the Statistical Methods used in Scientific Research published in The Korean Journal of Culinary Research

  • 나영아 (을지대학교 식품산업외식학과) ;
  • 나태균 (두원공과대학교 호텔조리과)
  • Rha, Young-Ah (Dept. of Food Technology and Services, Eulji University) ;
  • Na, Tae-Kyun (Dept. of Hotel Culinary Arts, Doowon Technical University)
  • 투고 : 2015.08.07
  • 심사 : 2015.12.01
  • 발행 : 2015.12.31

초록

본 연구의 목적은 외식관련 학술적 연구들에 적용된 통계적 기법의 사용 현황 및 일부 통계적 기법의 잘못된 사용에 대해 고찰해 보고자 하였다. 이러한 목적을 달성하고자 본 연구에서는 2010년부터 2013년도까지 총 4년간 한국조리학회지에 게재된 총 415편 중 자연과학적 연구, 질적 연구, 영문으로 작성된 연구 등을 제외한 총 251편의 학술적 연구를 대상으로 내용분석(content analysis)을 실시하였다. 연구의 결과를 요약하면 다음과 같다. 첫째, 사회과학 연구방법을 사용한 279편의 학술적 연구 중 269편이 양적 연구방법을 사용하였으며 10편의 학술적 연구만이 질적 연구방법을 사용한 것으로 조사되었다. 둘째, 전체 251편의 학술적 연구 중 20편(8.0%)의 연구는 통계방법 또는 통계 프로그램의 이름 등이 명시되어 있지 않은 것으로 나타났다. 셋째, 분석 기간 내에 한국조리학회지에 게재된 학술적 연구의 자료 분석에 가장 많이 사용된 통계 패키지는 SPSS 프로그램으로 나타났다(90.8%). 넷째, 분석대상 전체 251 편의 학술적 연구에 사용된 통계적 기법의 사용빈도를 살펴보면 빈도분석, 신뢰도분석, 탐색적 요인분석, 상관관계 분석, 회귀분석, 구조방정식모형, 확인적 요인분석, T-test, 분산분석, 교차분석 등이 주로 사용되고 있는 것으로 나타났다. 향후 연구에서는 각각의 통계적 기법에서 찾아볼 수 있는 통계적 오류에 대한 검증과 이를 통해 통계적 오류를 최소화시킬 방안이 제시되어야 할 것이다.

Give that statistical analysis is an essential component of foodservice-related research, the purpose of this review is to analyse research trends of statistical methods applied to foodservice-related research. To achieve these objective, this study carried out a content analysis on a total of 251 out of 415 research articles published in The Korean Journal of Culinary Research(TKJCR) from January 2010 to December 2013. Of the total 164 research articles focussing on natural science research, qualitative research, articles written in English were excluded from the scope of this study. The results of this study are as follows. First, it turned out that 269 research articles applied quantitative research methods, and only 10 articles applied qualitative research methods among the 279 research articles based on social science research methods. Second, 20 article (8.0%) among the 251 did not specify the statistical methods or computer programs that were used for statistical analysis. Third, it was found that 228 articles (90.8%) used the SPSS program for data analysis. Fourth, in terms of frequency of use, it was revealed frequency analysis was most used, followed in order by reliability analysis, exploratory factor analysis, correlation analysis, regression analysis, structural equation modeling, confirmatory factor analysis, t-test, variance analysis, and cross tabs analysis, However, 3 out of 56 research articles that used a t-test did not suggest a t-value. 10 out of 64 articles that used ANOVA and demonstrated a significant difference in between-group mean did not conducted post-hoc test. Therefore, the researchers with interest in foodservice fields need to keep in mind that choosing and applying the correct statistical technique both determine the value and the success or failure of a study. To enhance the value and success of a study, it is necessary to use the proper statistical technique in an efficient way in order to prevent statistical errors.

키워드

참고문헌

  1. Cha SB (2012). Methodological review of content analysis applied to the tourism studies. Korean Journal of Hotel Administration 21(6):215-229.
  2. Cha SB, Kim HB, Lee SH (2012). A content analysis of wine-related studies appeared in the hospitality & tourism journals: A review of papers published in 1999-2010 period. Journal of Foodservice Management Society of Korea 15(1):281-297.
  3. Chong YK, Jung WH, Kim YG (2007). Research trends regarding foodservice management: Review of journal of foodservice management society of Korea. Journal of Foodservice Management Society of Korea 10(2):73-91.
  4. Han BS, Kim SH (2001). A critical observation of erroneous survey methods in the existing articles published through the journal of tourism sciences. Journal of Tourism Sciences 25(2): 13-33.
  5. Han KS, Shin SH (2010). Content analysis of learning classifications of foodservice and culinary majors. The Korean Journal of Culinary Research 16(2):367-381.
  6. Hong SH, Choi BG, Lee SE (2006). A content analysis of articles on event and festival appeared in Korean tourism journals: A review of pappers in 1995-2004 period. Journal of Tourism Sciences 30(6):95-111.
  7. Hong WS, Kwon YS, Kwon YM, Yoo HK (2011). Content analysis of dietary lifestyle-related research articles from 1990 to 2009. Family and Environment Research 49(2):13-26.
  8. Jung SY (2013). Bibliometric analysis on the research trends in foodservice studies. Journal of Foodservice Management Society of Korea 16(4):27-46.
  9. Kang MS (2014). A study on research trends of the Korean journal of culinary research. The Korean Journal of Culinary Research 20(1): 76-88.
  10. Kang SW, Rha YA (2013). An analytical study on differences between the types of disputes in food service franchises and the relevant corporate information. The Korean Journal of Culinary Research 19(5):264-279.
  11. Kim CW, Yoon HJ (2009). A review and application of qualitative research methodology in tourism. Journal of Tourism Sciences 33(1): 11-30.
  12. Kim DM (2011). Papers published in journal of medicine study on the statistical techniques. Master Thesis, Wonkwang University 1-33, Chonbuk.
  13. Kim GR, Kim MJ (2013). Differences in snacking behavior and general characteristics of high school students in some areas in Seoul and Kyonggido. The Korean Journal of Culinary Research 19(2):11-27.
  14. Kim H (2015). Analysis of research papers published in the Korean journal of internal medicine from 2008-2012. Doctoral Thesis, Soonchunhyang University 1-40, Asan.
  15. Kim HJ, Stout B, Jeon MS (2012). Tourism research methods and statistical assumptions: A review of articles appeared in the recent journal of tourism sciences. Journal of Tourism Sciences 36(9):11-26.
  16. Kim JE, Kang KW, Lee MH, Lee SH (2013). Statistical methods used in articles of the Korean journal of acupuncture. Korean Journal of Acupuncture 30(1):1-8. https://doi.org/10.14406/acu.2013.30.1.001
  17. Kim KJ, Ahn SH, Kim YJ, Lee JH, Park KY (2011). A comparison study on selection attributes and satisfaction in the university foodservice using IPA: Focused on difference in accessibility to outside restaurants. The Korean Journal of Culinary Research 18(1):104-119.
  18. Kim SH (2007). Status and challenges of qualitative tourism research: A meta analysis of Korean tourism periodicals. Journal of Tourism Sciences 31(1):13-32.
  19. Kwon YS, Hong WS (2010). Trend analysis of food coordination-related studies conducted from 2000 to 2008. The Korean Journal of Culinary Research 16(3):218-236.
  20. Lee HJ, Jung SK (2011). The use of statistical methodology in articles in medical journals and suggestions for the quality improvement of the pediatric allergy and respiratory disease. Allergy Asthma & Respiratory Disease 21(3):144-155. https://doi.org/10.7581/pard.2011.21.3.144
  21. Lee SH, Kim SH, Jung LH, Jung JW, Jeon KC, Kim HK (2010). Studies on commercialization of Korean native foods: Focused on Boseong area. The Korean Journal of Culinary Research 16(4):43-52.
  22. Lee SH, Na TK (2006). An analysis on the trend of menu-related research. The Korean Journal of Culinary Research 12(1):126-143.
  23. Liu F, Kim DJ (2010). The effects of selection attributes on customer satisfaction: The case of Korean-themed restaurants in Shenyang, China. The Korean Journal of Culinary Research 16 (1):24-37.
  24. Min KH (2014). Analysis of academic research trends pertaining to globalization of Korean food. The Korean Society of Food & Cookery Science 25(5):600-618.
  25. Na TK, Lee SH, Park IS (2004). A study on trend analysis in hospitality-related study. The Korean Journal of Culinary Research 10(3):155-170.
  26. Noh YH (2014). Quantitative and qualitative research in the foodservice management. Journal of Foodservice Management Society of Korea 17(5):299-305.
  27. Oh IK (2000). Content analysis: Applications to tourism research. Journal of Tourism Sciences 24(1):317-322.
  28. Palmer AL, Sese A, Montano JJ (2005). Tourism and statistics bibliometric study 1998-2002. Annals of Tourism Research 32(1):167-178. https://doi.org/10.1016/j.annals.2004.06.003
  29. Park DG (2008). An assessment of statistical validity of articles in the journal of Korean Academey of Prosthodontics. Master Thesis, Korea University 1-35, Seoul.
  30. Park HJ, Chong YK (2015). A review of research trend on marketing in hospitality and tourism. Journal of Tourism Sciences 39(3):157-171.
  31. Park HS (2005). Research trends on International Journal of Tourism Sciences with SEM. Journal of Tourism Sciences 29(1):267-286.
  32. Park JO, Um YH (2002). A study on the use of statistical methods in the field of early childhood education. Journal of Early Childhood Education 22(3):115-124.
  33. Rha JS, Noh YH (2015). Bibliometric network analysis on the recent foodservice management research. Journal of Foodservice Management Society of Korea 18(1):117-136.
  34. Rivera MA, Upchurch R (2007). The role of research in the hospitality industry: A content analysis of the IJHM between 2000 and 2005. International Journal of Hospitality Management 27(4):632-640. https://doi.org/10.1016/j.ijhm.2007.08.008
  35. Xiao HG, Smith SLJ (2006). Case studies in tourism research: A state-of-the-art analysis. Tourism Management 27(5):738-749. https://doi.org/10.1016/j.tourman.2005.11.002
  36. Yang MK (2010). Evaluation and analysis on the image decision factors of food service industry: Focused on Jeonju local food service industry. The Korean Journal of Culinary Research 16(2):1-14.
  37. Yang SH, Lee TR, Lee SY, Rhew KY (2012). Analysis on the statistical methods and errors in articles of Korean Journal of Clinical Pharmacy. Journal of the Korea Society of Health Information and Health Statistics 37(1):1-11.